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LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

Dark Souls II and Scholar of the First Sin Cheat Engine Guide

Updates

04/05/2020

  • Added HP Min Offset
  • Added “Replenishment [Phantom Color]” from previous tables versions (not made by me)
  • Mapped some offsets for easier reading
  • Added offset +74 (Parry Multiplier) under [Equipped Weapon]
  • Added WeaponTypeParam Helper
@am17an
am17an / mtp-bench.py
Last active May 24, 2026 21:38
MTP benchmark
#!/usr/bin/env python3
import argparse, json, sys, time
from urllib import request
PROMPTS = [
{"name": "code_python", "prompt": "Write a Python function that returns the n-th Fibonacci number using memoization. Include a docstring."},
{"name": "code_cpp", "prompt": "Write a C++ template function `clamp(x, lo, hi)` that returns x clamped to [lo, hi]. No std::clamp."},
{"name": "explain_concept", "prompt": "Explain how speculative decoding works in large language model inference, in three short paragraphs."},
{"name": "summarize", "prompt": "Summarize in two sentences: The Industrial Revolution began in Britain in the late 18th century, transforming manufacturing through mechanization, steam power, and the factory system. It spread to continental Europe and North America during the 19th century."},
{"name": "qa_factual", "prompt": "Q: What are the four fundamental forces of physics?\nA:"},

How to continue?

This a curate guide to continue your preparation for technical coding interviews, with resources, tips, and practice problems organized by topic. Enjoyed 🙌

📚 Additional Resources

Online Platforms

  • LeetCode - The most popular platform for coding interview prep. Start with their "Top Interview Questions" collections.
  • NeetCode - Curated list of 150 best LeetCode problems with video explanations.
  • GeeksforGeeks - Comprehensive explanations and problems for every data structure and algorithm.
@aparente
aparente / SKILL.md
Last active May 24, 2026 21:34
tufte-viz Claude Code skill — Edward Tufte data visualization principles

name: tufte-viz description: | Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4) Deciding between visualization approaches (5) Reducing chartjunk or improving data-ink ratio (6) Planning small multiples or high-density displays

@xeoncross
xeoncross / channels.go
Created February 12, 2018 22:39
Fastest way to merge multiple channels in golang.
package main
import (
"fmt"
"sync"
"sync/atomic"
)
// Fill Channel with int values
func fillChan(number int) <-chan int {
@notnotrobby
notnotrobby / cgp.md
Last active May 24, 2026 21:33
List of free resources to study computer graphics programming.
@ongkiii
ongkiii / IPA-Sources.md
Last active May 24, 2026 21:30
REPOS/TELEGRAM CHANNELS LIST BY u/angkitbharadwaj
@gulbaki
gulbaki / gist:a64010915eccda2ccaa527199bcfd323
Created February 22, 2026 13:56
Claude Code’un arkasındaki ekipten paylaşılan gerçek kullanım alışkanlıkları bir araya getirilmiş ve tek bir dosyada toplanmış: CLAUDE.md
# Workflow Orchestration
## 1. Plan Mode Default
- Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
- If something goes sideways, STOP and re-plan immediately — don't keep pushing
- Use plan mode for verification steps, not just building
- Write detailed specs upfront to reduce ambiguity
## 2. Subagent Strategy